T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:95
- Finding
- Unpinned Third-Party Package Installation<![CDATA[ ## Vulnerability Details **File Location**: `SKILL.md`, lines 95–101 **Vulnerability Type**: Unpinned dependency installation from a public package repository **Risk Level**: Medium ### Vulnerable Code ```markdown ## Audio Handling If the user provides an audio file: 1. Check if Whisper CLI is available (`which whisper`) 2. If yes: transcribe with `whisper [file] --output_format txt` 3. If no: tell user to install: `pip install openai-whisper` or use the OpenAI Whisper API 4. Then process the transcript as normal ``` ### Technical Analysis The Skill directs the user to install `openai-whisper` without specifying an audited version, validating package hashes, or using a locked dependency set. Consequently, the package version and transitive dependency graph are resolved dynamically when the command is run. Python package installation can execute package-controlled build and installation logic. If the package repository, a future package release, or one of its transitive dependencies is compromised, following this instruction could execute untrusted code with the privileges of the user running `pip`. The issue is an unsafe supply-chain practice rather than evidence that the named package is currently malicious. ### Attack Path 1. The user provides an audio file and the Skill determines that the Whisper CLI is unavailable. 2. The Skill instructs the user to run `pip install openai-whisper`. 3. `pip` resolves the latest permitted package and its transitive dependencies from the configured package index. 4. A compromised or unexpectedly modified release supplies malicious build or installation logic. 5. The installation process executes that logic under the installing user's account. 6. The malicious dependency can access resources available to that account and may modify the associated Python environment. ### Impact Assessment Successful exploitation could obtain the privileges of the account running `pip`. Depending on that account and environm ...[truncated 382 chars]
- Remediation
- <![CDATA[ ## Remediation Suggestions 1. Pin `openai-whisper` and every transitive dependency to reviewed versions in a lock file. 2. Require package hashes, such as through a requirements file used with `pip install --require-hashes`. 3. Recommend installation in a dedicated, non-privileged virtual environment rather than globally or with administrator privileges. 4. Require explicit user approval before installing any software. 5. Document the trusted package index and disable unreviewed alternate indexes. 6. Periodically review pinned dependencies for security advisories and update them through a controlled process. 7. Prefer a pre-approved transcription tool already available in the execution environment where possible. ]]>
